Name: A CISOs guide to the legalities of AI
Start: 2026-01-14T17:00:00Z
End: 2026-01-14T17:00:45.000Z
Location: BrightTALK

We talk all things data security with all kinds of experts - both internal and external to MIND.

In this episode of Mind What Matters, hosts Samuel Hill, Landon Brown welcome Eran Barak to discuss holiday traditions, predictions for 2026 in cybersecurity, and the evolving landscape of AI and data security. They explore the implications of AI initiatives, data poisoning, and the need for security teams to focus on business enablement rather than just tool counts. The conversation highlights the importance of trust in technology and the potential challenges that lie ahead as AI becomes more integrated into business processes.

Mind What Matters - Episode 4

This conversation explores the intersection of artificial intelligence and cybersecurity, emphasizing the importance of a human-centric approach. Maarten Van Horenbeeck discusses his experiences and insights on how security is fundamentally about people, the role of AI in enhancing human capabilities, and the need for organizations to adapt to rapid technological changes. The discussion also covers the importance of empathy, collaboration, and governance in building effective security programs that prioritize human needs while leveraging technology.

Top of Mind - Maarten Van Horenbeeck

In this episode, Landon Brown and Samuel Hill discuss various themes surrounding cybersecurity, including the impact of software on aviation safety, the responsibility of developers in managing secrets in public repositories, and the accountability of CISOs in the face of breaches. They also reflect on personal traditions during the holiday season and the importance of preparedness in both personal and professional contexts.

Mind What Matters - Ep 1.3 - Why CISOs shouldn't go to jail

In this episode of Mind What Matters, hosts Samuel Hill and Landon Brown discuss various topics related to cybersecurity, including the 50th anniversary of Apple, a cybersecurity incident at the University of Pennsylvania, and the implications of prompt injection attacks. They delve into the rise of agentic AI and its impact on data security, the convergence of data loss prevention and insider risk, and the trust issues surrounding AI and non-human identities. The conversation reflects on the complexity of human experience and the future of AI in a rapidly evolving technological landscape.

Mind What Matters Podcast - Ep 1.2 - Why no one trusts AI

The immovable object has met the irresistible force. 

AI is accelerating at a pace no security policy can match. It’s rewriting business workflows overnight, embedding itself into decisions and moving data faster than any review cycle or approval process ever could. 

Governance and security were built for a different era. They were designed to protect by slowing things down and enforcing static rules. 

But what happens when reducing speed is no longer an option? How do you securely enable AI across your organization?

Ryan Fritts, CIO of Everon Solutions, shares what's Top of Mind for him, namely confronting the collision between AI innovation and company controls. Ryan brings the pragmatic lens of a leader who lives this tension every day across a dynamic enterprise. 

Together, we’ll explore: 
- Why governance frameworks and traditional security controls can’t keep up with the velocity of AI adoption 
- What “control” looks like when innovation is constant 
- How to build adaptive, intelligent governance and security that moves as fast as the technology it protects 

AI isn’t slowing down. Security can’t stay still. The question is how to evolve before the gap becomes ungovernable.

Is AI moving too fast to govern?

In this episode of Mind What Matters, hosts Samuel Hill and Landon Brown discuss various topics in cybersecurity, including Nvidia's unexpected investment in Intel, the risks associated with foreign communication devices in critical infrastructure, the challenges of live tech demos, and the inefficiencies in traditional processes like RegEx in data security. They emphasize the importance of innovation and adapting to new technologies while reflecting on personal experiences and the value of family.

Takeaways
- Data security is crucial in today's digital landscape.
- Team bonding experiences can enhance workplace relationships.
- Nvidia's investment in Intel signals a shift in the AI arms race.
- Geopolitical risks in chip manufacturing are a growing concern.
- Live demos in tech can often go awry, highlighting the challenges of innovation.
- Breaking away from traditional methods can lead to better solutions.
- Regex is becoming outdated in the face of modern data security needs.
- The importance of adapting to new technologies is paramount.
- Investing in local chip manufacturing can mitigate risks.
- Family and personal connections are essential for a balanced life.

cybersecurity, data security, Nvidia, Intel, AI arms race, chip manufacturing, live demos, regex, technology, innovation

Mind What Matters Podcast - Ep 1.1 "Why do we still use RegEx?"

Legacy endpoint DLP is stuck in the middle seat, somewhere in the back of the plane. It's doesn't share the armrest and is too noisy. Too many alerts. Too many false positives. Too much manual work.

It’s time for an upgrade.

MIND is upgrading Endpoint DLP to give security teams visibility, precision and peace of mind, at machine speed. Now you can protect your endpoints with a single lightweight agent that protects data in motion and at rest, while reducing noise and giving teams their time back.

Join us to learn how.

Your flight to Stress-Free DLP is now boarding and you've been upgraded to Business Class.

An Unexpected Trip to Stress-Free DLP

A conversation with Kristy Westphal, Global Security Director at Spirent Communications

Security analysts everywhere face a relentless surge of alerts, dashboards, false positives and manual tasks. While new technologies promise relief, they often add complexity without delivering clarity. This webinar focuses on the human and operational impact of analyst overload and explores how leaders can create sustainable programs that prioritize focus, clarity and resilience.

Let's stop drowning our already overwhelmed analysts in alerts

Today’s organizations struggle with traditional data loss prevention (DLP) solutions that generate false positives, require extensive policy configuration, and demand significant headcount to manage effectively. Adding to this complexity, Enterprise Strategy Group (ESG) research shows that companies typically use 4-6 different DLP solutions, creating fragmented visibility across their data protection ecosystem.
 
Join ESG Principal Analyst Todd Thiemann as he interviews Landen Brown, Field CTO at MIND, examining how to solve these problems using MIND's DLP and insider risk management approaches. This year, MIND was honored in both the RSAC™ Conference 20th Annual Innovation Sandbox Contest and Black Hat Startup Spotlight Competition, qualifying them to tackle this DLP challenge.
 
Register for this fireside chat, live from Las Vegas, as Landen will discuss:

● What are the core benefits of autonomous DLP?
● Why it’s critical to have both posture and prevention in one unified solution?
● What is MIND’s approach to DLP?
● How is MIND approaching the data classification challenge?
● How does MIND address today’s DLP alert and triage fatigue?

Solving the DLP Effectiveness Conundrum to Improve Security Outcomes

In this Top of Mind Webinar, Samuel Hill and Landon Brown discuss the implications of artificial intelligence (AI) in cybersecurity with expert Linn Friedman. The conversation covers the pressures on security leaders to implement AI tools, the legal risks associated with AI, the evolving regulatory landscape and the importance of governance and trust in AI implementation. Linn emphasizes the need for organizations to develop AI governance programs to mitigate risks and ensure safe usage of AI technologies.

A CISOs guide to the legalities of AI

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A CISOs guide to the legalities of AI

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